Foundations of logic programming; (2nd extended ed.)
Foundations of logic programming; (2nd extended ed.)
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
First-order jk-clausal theories are PAC-learnable
Artificial Intelligence
Tabled evaluation with delaying for general logic programs
Journal of the ACM (JACM)
On the relative expressiveness of description logics and predicate logics
Artificial Intelligence
Solving the multiple instance problem with axis-parallel rectangles
Artificial Intelligence
Fast discovery of association rules
Advances in knowledge discovery and data mining
A Multistrategy Approach to Relational Knowledge Discovery inDatabases
Machine Learning - Special issue on multistrategy learning
Logical settings for concept-learning
Artificial Intelligence
Query flocks: a generalization of association-rule mining
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Top-down induction of first-order logical decision trees
Artificial Intelligence
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
A framework for multiple-instance learning
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
A Machine-Oriented Logic Based on the Resolution Principle
Journal of the ACM (JACM)
Resource-bounded Relational Reasoning: Induction and Deduction Through Stochastic Matching
Machine Learning - Special issue on multistrategy learning
Query Optimization in Database Systems
ACM Computing Surveys (CSUR)
Molecular feature mining in HIV data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Foundations of Inductive Logic Programming
Foundations of Inductive Logic Programming
Relational Data Mining
Three companions for data mining in first order logic
Relational Data Mining
Propositionalization approaches to relational data mining
Relational Data Mining
Levelwise Search and Borders of Theories in KnowledgeDiscovery
Data Mining and Knowledge Discovery
Discovery of frequent DATALOG patterns
Data Mining and Knowledge Discovery
Scaling Up Inductive Logic Programming by Learning from Interpretations
Data Mining and Knowledge Discovery
A Study of Two Sampling Methods for Analyzing Large Datasets with ILP
Data Mining and Knowledge Discovery
Phase Transitions in Relational Learning
Machine Learning
Learning Logical Definitions from Relations
Machine Learning
ECML '93 Proceedings of the European Conference on Machine Learning
Natural Ideal Operators in Inductive Logic Programming
ECML '97 Proceedings of the 9th European Conference on Machine Learning
SLIQ: A Fast Scalable Classifier for Data Mining
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
Constraint-based Learning of Long Relational Concepts
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
An Experimental Evaluation of Coevolutive Concept Learning
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Analyzing Relational Learning in the Phase Transition Framework
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
An Algorithm for Multi-relational Discovery of Subgroups
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
DLAB: A Declarative Language Bias Formalism
ISMIS '96 Proceedings of the 9th International Symposium on Foundations of Intelligent Systems
High-Performance Data Mining on Networks of Workstations
ISMIS '99 Proceedings of the 11th International Symposium on Foundations of Intelligent Systems
Relational Knowledge Discovery in Databases
ILP '96 Selected Papers from the 6th International Workshop on Inductive Logic Programming
Efficient Theta-Subsumption Based on Graph Algorithms
ILP '96 Selected Papers from the 6th International Workshop on Inductive Logic Programming
Cautious Induction in Inductive Logic Programming
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
DOGMA: A GA-Based Relational Learner
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
DS '01 Proceedings of the 4th International Conference on Discovery Science
The Complexity of Acyclic Conjunctive Queries
FOCS '98 Proceedings of the 39th Annual Symposium on Foundations of Computer Science
Declarative Programming in Escher
Declarative Programming in Escher
Finding the most interesting patterns in a database quickly by using sequential sampling
The Journal of Machine Learning Research
Query transformations for improving the efficiency of ilp systems
The Journal of Machine Learning Research
Beyond Independence: Probabilistic Models for Query Approximation on Binary Transaction Data
IEEE Transactions on Knowledge and Data Engineering
Tractable induction and classification in first order logic via stochastic matching
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Improving the efficiency of inductive logic programming through the use of query packs
Journal of Artificial Intelligence Research
Cached sufficient statistics for efficient machine learning with large datasets
Journal of Artificial Intelligence Research
Learning on the phase transition edge
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Compact representation of knowledge bases in ILP
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Prospects and challenges for multi-relational data mining
ACM SIGKDD Explorations Newsletter
Multi-relational data mining: the current frontiers
ACM SIGKDD Explorations Newsletter
A framework to support multiple query optimization for complex mining tasks
MDM '05 Proceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data
Short communication: A new relational learning system using novel rule selection strategies
Knowledge-Based Systems
Constructing a Decision Tree for Graph-Structured Data and its Applications
Fundamenta Informaticae - Advances in Mining Graphs, Trees and Sequences
SBBD '08 Proceedings of the 23rd Brazilian symposium on Databases
Discovering Knowledge from Multi-relational Data Based on Information Retrieval Theory
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Novelty Detection from Evolving Complex Data Streams with Time Windows
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
DS '09 Proceedings of the 12th International Conference on Discovery Science
On enumerating frequent closed patterns with key in multi-relational data
DS'10 Proceedings of the 13th international conference on Discovery science
Intelligent Data Analysis - Ubiquitous Knowledge Discovery
Constrained sequential pattern knowledge in multi-relational learning
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Boosting tuple propagation in multi-relational classification
Proceedings of the 15th Symposium on International Database Engineering & Applications
From inductive logic programming to relational data mining
JELIA'06 Proceedings of the 10th European conference on Logics in Artificial Intelligence
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
Predictive sequence miner in ILP learning
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
Constructing a Decision Tree for Graph-Structured Data and its Applications
Fundamenta Informaticae - Advances in Mining Graphs, Trees and Sequences
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Efficiency and Scalability have always been important concerns in the field of data mining, and are even more so in the multi-relational context, which is inherently more complex. The issue has been receiving an increasing amount of attention during the last few years, and quite a number of theoretical results, algorithms and implementations have been presented that explicitly aim at improving the efficiency and Scalability of multi-relational data mining approaches. With this article we attempt to present a structured overview.